---
Annotated Image Database of Architecture-CNNs (AIDA-CNNs)-[pytorch implementation]
---
### 1. Details of file fold:
## AIDA160
- data/AIDA160/
- data/AIDA160/train_img/*.jpg
- data/AIDA160/train_img.txt
- data/AIDA160/train_label.txt
- data/AIDA160/test_img/*.jpg
- data/AIDA160/test_img.txt
- data/AIDA160/test_label.txt
## AIDA25
- data/AIDA25/
- data/AIDA25/train_img/*.jpg
- data/AIDA25/train_img.txt
- data/AIDA25/train_label.txt
- data/AIDA25/test_img/*.jpg
- data/AIDA25/test_img.txt
- data/AIDA25/test_label.txt

### 2. File description:
## AIDA160
| file | description|
|---|---|
|data/AIDA160/train_img/|training image fold|
|data/AIDA160/test_img/|testing image fold|
|data/AIDA160/train_img.txt|file name list for training image |
|data/AIDA160/test_img.txt|file name list for testing image |
|data/AIDA160/train_label.txt|label list for training image|
|data/AIDA160/test_label.txt| label list for testing image|
## AIDA25
| file | description|
|---|---|
|data/AIDA25/train_img/|training image fold|
|data/AIDA25/test_img/|testing image fold|
|data/AIDA25/train_img.txt|file name list for training image |
|data/AIDA25/test_img.txt|file name list for testing image |
|data/AIDA25/train_label.txt|label list for training image|
|data/AIDA25/test_label.txt| label list for testing image|

### 3. Running example:
requirements:
```python
torch
torchvision
```
running example:
## AIDA160
```python
python multi_label_classifier_AIDA160.py
```
## AIDA25
```python
python multi_label_classifier_AIDA25.py
```